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Yong Qin

Yong Qin has 3 papers in our library, in 2026, most of them on Dialogue systems, Speech & spoken language, Evaluation & benchmarks; often with Jiaming Zhou, Haoqin Sun, Hui Wang.

3 papers in our library · 2026

OpenAlex · ORCID · h-index 1 · 10 works · 6 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 3 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #10857

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Nankai UniversityTianjin · China2021–2026 · 10 papersEmployment since 2021 · Professor, College of Computer Sciencescurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSignal Processing · 3 works

🧭 Topics 3Research subjects and languages the work is about.Dialogue systems · 1 workEvaluation & benchmarks · 1 workSpeech & spoken language · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Child-directed speech · 1 work

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation (2026 · 3 citations)
    Judging how good synthetic speech sounds is still difficult. Common tools such as MOS ratings, A/B tests, or MCD produce a single number or a binary choice, which explains nothing about the judgment. Learned predictors such as UTMOS are usually limited to one task and one language. The authors propose…
  2. ChildTalk: A Multi-Dialect Chinese Child Speech Corpus with Full-Length Child–Caregiver Conversations for Speech Recognition (2026)
    Recognizing children's speech is hard for ASR systems. Child voices differ acoustically from the adult data most models are trained on, and Mandarin child corpora are scarce. Existing ones are often closed, built from read speech, cut into isolated utterances, or limited to standard Mandarin. The authors address this…
  3. RealTalk-CN: A Realistic Chinese Speech Task-Oriented Dialogue Benchmark with Cross-Modal Analysis (2026)
    Speech LLMs such as GPT-4o can now handle spoken interaction end to end. However, it is unclear how well they help users finish concrete tasks when speech is spontaneous, spans many turns, varies across speakers, or alternates with typed input. Existing task-oriented dialogue (TOD) benchmarks are mostly text-only…

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Wang, Jinghua Zhao, Yifan Yang, et al.2026 · 3 citations
  2. ChildTalk: A Multi-Dialect Chinese Child Speech Corpus with Full-Length Child–Caregiver Conversations for Speech RecognitionFindings of the Association for Computational LinguisticsJiaming Zhou, Yujie Guo, Shiwan Zhao, et al.2026
  3. RealTalk-CN: A Realistic Chinese Speech Task-Oriented Dialogue Benchmark with Cross-Modal AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Enzhi Wang, Jiaming Zhou, Yuhang Jia, et al.2026
  4. DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetJiaming Zhou et al.2026

 Co-authors here

11 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

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